Suppr超能文献

癌症的颜色:利用弹性散射光谱法指导口腔癌切除术的切缘判定

The color of cancer: Margin guidance for oral cancer resection using elastic scattering spectroscopy.

作者信息

Grillone Gregory A, Wang Zimmern, Krisciunas Gintas P, Tsai Angela C, Kannabiran Vishnu R, Pistey Robert W, Zhao Qing, Rodriguez-Diaz Eladio, A'Amar Ousama M, Bigio Irving J

机构信息

Department of Otolaryngology-Head and Neck Surgery, Boston Medical Center/Boston University School of Medicine, Boston, Massachusetts.

Department of Pathology and Laboratory Medicine, Boston Medical Center/Boston University School of Medicine, Boston, Massachusetts.

出版信息

Laryngoscope. 2017 Sep;127 Suppl 4(Suppl 4):S1-S9. doi: 10.1002/lary.26763. Epub 2017 Jul 28.

Abstract

OBJECTIVES/HYPOTHESIS: To evaluate the usefulness of elastic scattering spectroscopy (ESS) as a diagnostic adjunct to frozen section analysis in patients with diagnosed squamous cell carcinoma of the oral cavity.

STUDY DESIGN

Prospective analytic study.

METHODS

Subjects for this single institution, institutional review board-approved study were recruited from among patients undergoing surgical resection for squamous cell cancer of the oral cavity. A portable ESS device with a contact fiberoptic probe was used to obtain spectral signals. Four to 10 spectral readings were obtained on each subject from various sites including gross tumor and normal-appearing mucosa in the surgical margin. Each reading was correlated with the histopathologic findings of biopsies taken from the exact location of the spectral readings. A diagnostic algorithm based on multidimensional pattern recognition/machine learning was developed. Sensitivity and specificity, error rate, and area under the curve were used as performance metrics for tests involving classification between disease and nondisease classes.

RESULTS

Thirty-four (34) subjects were enrolled in the study. One hundred seventy-six spectral data point/biopsy specimen pairs were available for analysis. ESS distinguished normal from abnormal tissue, with a sensitivity ranging from 84% to 100% and specificity ranging from 71% to 89%, depending on how the cutoff between normal and abnormal tissue was defined (i.e., mild, moderate, or severe dysplasia). There were statistically significant differences in malignancy scores between histologically normal tissue and invasive cancer and between noninflamed tissue and inflamed tissue.

CONCLUSIONS

This is the first study to evaluate the effectiveness of ESS in guiding mucosal resection margins in oral cavity cancer. ESS provides fast, real-time assessment of tissue without the need for pathology expertise. ESS appears to be effective in distinguishing between normal mucosa and invasive cancer and between "normal" tissue (histologically normal and mild dysplasia) and "abnormal" tissue (severe dysplasia and carcinoma in situ) that might require further margin resection. Further studies, however, are needed with a larger sample size to validate these findings and to determine the effectiveness of ESS in distinguishing visibly and histologically normal tissue from visibly normal but histologically abnormal tissue.

LEVEL OF EVIDENCE

NA Laryngoscope, 127:S1-S9, 2017.

摘要

目的/假设:评估弹性散射光谱(ESS)作为诊断辅助手段在已确诊口腔鳞状细胞癌患者冰冻切片分析中的作用。

研究设计

前瞻性分析研究。

方法

本单机构、经机构审查委员会批准的研究的受试者,是从接受口腔鳞状细胞癌手术切除的患者中招募的。使用带有接触式光纤探头的便携式ESS设备获取光谱信号。从每个受试者的不同部位,包括大体肿瘤和手术切缘外观正常的黏膜,获取4至10次光谱读数。每次读数都与从光谱读数的确切位置获取的活检组织病理学结果相关联。开发了一种基于多维模式识别/机器学习的诊断算法。敏感性和特异性、错误率以及曲线下面积被用作涉及疾病与非疾病类别分类测试的性能指标。

结果

34名受试者参与了该研究。有176对光谱数据点/活检标本可用于分析。ESS能够区分正常组织和异常组织,根据正常组织与异常组织之间的界限(即轻度、中度或重度发育异常)的定义方式,敏感性范围为84%至100%,特异性范围为71%至89%。组织学正常组织与浸润性癌之间以及非炎症组织与炎症组织之间的恶性肿瘤评分存在统计学显著差异。

结论

这是第一项评估ESS在指导口腔癌黏膜切除切缘方面有效性的研究。ESS无需病理学专业知识即可对组织进行快速、实时评估。ESS似乎在区分正常黏膜与浸润性癌以及可能需要进一步切缘切除的“正常”组织(组织学正常和轻度发育异常)与“异常”组织(重度发育异常和原位癌)方面有效。然而,需要进一步开展更大样本量的研究来验证这些发现,并确定ESS在区分外观和组织学均正常的组织与外观正常但组织学异常的组织方面的有效性。

证据水平

无 喉镜,127:S1 - S9,2017年。

相似文献

1
The color of cancer: Margin guidance for oral cancer resection using elastic scattering spectroscopy.
Laryngoscope. 2017 Sep;127 Suppl 4(Suppl 4):S1-S9. doi: 10.1002/lary.26763. Epub 2017 Jul 28.
4
Shrinkage in oral squamous cell carcinoma: An analysis of tumor and margin measurements in vivo, post-resection, and post-formalin fixation.
Am J Otolaryngol. 2017 Nov-Dec;38(6):660-662. doi: 10.1016/j.amjoto.2017.08.011. Epub 2017 Sep 12.
5
Significance of post-resection tissue shrinkage on surgical margins of oral squamous cell carcinoma.
J Craniomaxillofac Surg. 2015 May;43(4):475-82. doi: 10.1016/j.jcms.2015.01.009. Epub 2015 Jan 31.
6
Nonlinear pattern recognition for laser-induced fluorescence diagnosis of cancer.
Lasers Surg Med. 2003;33(1):48-56. doi: 10.1002/lsm.10191.
7
Clinical impact of iodine staining for diagnosis of carcinoma in situ in the floor of mouth, and decision of adequate surgical margin.
Auris Nasus Larynx. 2012 Apr;39(2):193-7. doi: 10.1016/j.anl.2011.08.004. Epub 2011 Aug 31.
8
Assessment of oral premalignancy using elastic scattering spectroscopy.
Oral Oncol. 2006 Apr;42(4):343-9. doi: 10.1016/j.oraloncology.2005.08.008.
9
Intraoperative Margin Assessment in Early Oral Squamous Cell Carcinoma.
Surg Pathol Clin. 2017 Mar;10(1):1-14. doi: 10.1016/j.path.2016.10.002. Epub 2016 Dec 10.
10
Resection status and margin control in intraoperative frozen sectioning analysis of oral squamous cell carcinoma.
Oral Maxillofac Surg. 2024 Sep;28(3):1209-1218. doi: 10.1007/s10006-024-01238-x. Epub 2024 Mar 27.

引用本文的文献

2
Insights Into AI-Enabled Early Diagnosis of Oral Cancer: A Scoping Review.
Cureus. 2025 Jul 21;17(7):e88407. doi: 10.7759/cureus.88407. eCollection 2025 Jul.
3
Elastic scattering spectroscopy for intraoperative oral cancer mucosal margin guidance: Initial results from a 104 patient cohort.
Am J Otolaryngol. 2025 May-Jun;46(3):104605. doi: 10.1016/j.amjoto.2025.104605. Epub 2025 Mar 5.
5
The Diagnostic Potential of Non-Invasive Tools for Oral Cancer and Precancer: A Systematic Review.
Diagnostics (Basel). 2024 Sep 13;14(18):2033. doi: 10.3390/diagnostics14182033.
6
Surgical margins in head and neck squamous cell carcinoma: A narrative review.
Int J Surg. 2024 Jun 1;110(6):3680-3700. doi: 10.1097/JS9.0000000000001306.
10
Machine learning in dental, oral and craniofacial imaging: a review of recent progress.
PeerJ. 2021 May 17;9:e11451. doi: 10.7717/peerj.11451. eCollection 2021.

本文引用的文献

3
Multimodality approach to optical early detection and  mapping of oral neoplasia.
J Biomed Opt. 2011 Jul;16(7):076007. doi: 10.1117/1.3595850.
5
Contemporary management of cancer of the oral cavity.
Eur Arch Otorhinolaryngol. 2010 Jul;267(7):1001-17. doi: 10.1007/s00405-010-1206-2. Epub 2010 Feb 13.
8
A dynamic oral cancer field: unraveling the underlying biology and its clinical implication.
Am J Surg Pathol. 2009 Nov;33(11):1732-8. doi: 10.1097/PAS.0b013e3181b669c2.
10
Head & neck optical diagnostics: vision of the future of surgery.
Head Neck Oncol. 2009 Jul 13;1:25. doi: 10.1186/1758-3284-1-25.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验